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Leveraging Explainability for Discussion Forum Classification: Using Confusion Detection as an Example
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Du, Hanxiang; Xing, Wanli – Distance Education, 2023
Online discussion forums are highly valued by instructors due to their affordance for understanding class activities and learning. However, a discussion forum with a great number of posts requires a large amount of time to view, and help requests are easily overlooked. Various machine-learning--based tools have been developed to help instructors…
Descriptors: Computer Mediated Communication, Discussion Groups, Classification, Identification
Yet Another Predictive Model? Fair Predictions of Students' Learning Outcomes in an Online Math Learning Platform
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Li, Chenglu; Xing, Wanli; Leite, Walter – Grantee Submission, 2021
To support online learners at a large scale, extensive studies have adopted machine learning (ML) techniques to analyze students' artifacts and predict their learning outcomes automatically. However, limited attention has been paid to the fairness of prediction with ML in educational settings. This study intends to fill the gap by introducing a…
Descriptors: Learning Analytics, Prediction, Models, Electronic Learning
Toward Building a Fair Peer Recommender to Support Help-Seeking in Online Learning
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Li, Chenglu; Xing, Wanli; Leite, Walter L. – Distance Education, 2022
Help-seeking is a valuable practice in online discussion forums. However, the asynchronicity and information overload of online discussion forums have made it challenging for help seekers and providers to connect effectively. This study formulated a new method to provide fair and accurate insights toward building a peer recommender to support…
Descriptors: Peer Relationship, Help Seeking, Electronic Learning, Distance Education
Toward Building a Fair Peer Recommender to Support Help-Seeking in Online Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Direct linkDirect link
Li, Chenglu; Xing, Wanli; Leite, Walter L. – Grantee Submission, 2022
Help-seeking is a valuable practice in online discussion forums. However, the asynchronicity and information overload of online discussion forums have made it challenging for help seekers and providers to connect effectively. This study formulated a new method to provide fair and accurate insights toward building a peer recommender to support…
Descriptors: Peer Relationship, Help Seeking, Electronic Learning, Distance Education